const ZH = {
    language: {
        set_success: '语言已设置为 {language}'
    },
    theme: {
        set_success: '主题已设置为 {theme}'
    },
    menu: {
        Menu    : '菜单',
        Query   : 'QTL结果',
        Survival: '生存相关QTL',
        GWAS    : '疾病相关QTL',
        Download: '下载',
        Help    : '帮助',
        Contact : '友情链接'
    },
    footer: {
        school: '华中农业大学',
        department: '信息学院',
        contry: '中国',
        contact_message: '任何意见与建议，请',
        contact_us: '联系我们'
    },
    queryForm: {
        submit             : '提交',
        reset              : '重置',
        placeHolder        : '输入变异或者表型',
        example            : '示例',
        variant            : '按变异',
        trait              : '按表型',
        searchByVariantHelp: '按变异搜索, 返回与此变异关联的所有表型',
        searchByTraitHelp  : '按表型搜索, 返回与此变异关联的所有变异',
        allertMessages     : {
            empty       : '查询内容不能为空',
            hasSpecial  : '查询内容含有特殊字符',
            wrongPos    : '输入的位置有误',
            startWithNum: '表型不能以数字开头'
        }
    },
    indexPage: {
        title1     : '泛癌症多核苷酸变异',
        title2     : '分子表型数量性状位点',
        description: 'Get Started by Searching:',
        title3     : '输入内容以查询:',
        sample     : '样本',
        mnv        : '变异',
        cis        : '顺式QTL',
        trans      : '反式QTL',
        search     : '顺式/反式 QTL',
        survival   : '预后相关 QTL',
        gwas       : '疾病相关 QTL',
        download   : '数据下载',
        siteinfo   : 'Pancan-MNVQTLdb integrates large numbers of GWAS summary statistics and identifies credible sets of causality by uniformly processed fine-mapping. The database incorporates over 3,000 public full GWAS summary data, and the number will be constantly accumulating according to our timely curation. It estimates causal probabilities of all genetic variants in the GWAS significant loci using three state-of-the-art fine-mapping tools including PAINTOR, CAVIARBF and FINEMAP. These comprehensive causalities and statistics can be explored in an interactive causal block viewer. Users can also compare causal relations on variant-level, gene-level and trait-level across studies of distinct sample size or population. By integrating massive base-wise and allele-specific functional annotations, causal variants could be further interpreted. The objective of this database is to ensure that its convenience and precision for researchers to select and prioritize causal variants for further study.'
    },
    resultPage: {
        variantCount       : '结果',
        cancer             : '癌症',
        phenotype          : '表型',
        variant            : '变异',
        heatmapHeader      : '概览: ',
        tableHeader        : '具体数据: ',
        filter             : '筛选',
        rows_per_page_label: '每页结果数: '
    }
}

export default ZH
